$datasets = "topic", "repost", "twitter";
$time_window = 1, 0.5;
$lr_wd = 1e-2, 5e-2, 1e-3, 5e-3, 1e-4, 5e-4;
$batch_size = 4, 8, 16, 32, 64
$v_nodes = "all", "source"
$lr = 5e-2
$wd = 5e-2
$tw = 1
foreach ($ds in $datasets) {
#    foreach ($tw in $time_window) {
#         foreach ($lr in $lr_wd) {
#             foreach ($wd in $lr_wd) {
#                 python run.py --dataset_name topic --observation 2 --learning_rate $lr --weight_decay $wd --follower_hop 1
                python run.py --dataset_name $ds --observation $tw --learning_rate $lr --weight_decay $wd
#             }
#         }
#    }
}


# foreach ($vn in $v_nodes)
# {
#     python run.py --dataset_name topic --observation 24 --auto_lr_find False --learning_rate 5e-3 --weight_decay 5e-4 --batch_size 8 --virtual_node $vn
# }
